AIMC Topic: Female

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Construction of mammographic examination process ontology using bottom-up hierarchical task analysis.

Radiological physics and technology
Describing complex mammography examination processes is important for improving the quality of mammograms. It is often difficult for experienced radiologic technologists to explain the process because their techniques depend on their experience and i...

Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study.

The British journal of radiology
OBJECTIVE: To train a generic deep learning software (DLS) to classify breast cancer on ultrasound images and to compare its performance to human readers with variable breast imaging experience.

Development of a System Architecture for Evaluation and Training of Proprioceptive Deficits of the Upper Limb.

Computational intelligence and neuroscience
Proprioception plays a fundamental role in maintaining posture and executing movement, and the quantitative evaluation of proprioceptive deficits in poststroke patients is important. But currently it is not widely performed due to the complexity of t...

Harnessing electronic medical records to advance research on multiple sclerosis.

Multiple sclerosis (Houndmills, Basingstoke, England)
BACKGROUND: Electronic medical records (EMR) data are increasingly used in research, but no studies have yet evaluated similarity between EMR and research-quality data and between characteristics of an EMR multiple sclerosis (MS) population and known...

The Cost-Effectiveness of Using PARO, a Therapeutic Robotic Seal, to Reduce Agitation and Medication Use in Dementia: Findings from a Cluster-Randomized Controlled Trial.

Journal of the American Medical Directors Association
OBJECTIVES: To examine the within-trial costs and cost-effectiveness of using PARO, compared with a plush toy and usual care, for reducing agitation and medication use in people with dementia in long-term care.

A wrapped multi-label classifier for the automatic diagnosis and prognosis of Alzheimer's disease.

Journal of neuroscience methods
BACKGROUND: AD is the most frequent neurodegenerative disease, severely impacting our society. Early diagnosis and prognosis are challenging tasks in the management of AD patients.

An ensemble boosting model for predicting transfer to the pediatric intensive care unit.

International journal of medical informatics
BACKGROUND: Early deterioration indicators have the potential to alert hospital care staff in advance of adverse events, such as patients requiring an increased level of care, or the need for rapid response teams to be called. Our work focuses on the...

Computer-aided assessment of breast density: comparison of supervised deep learning and feature-based statistical learning.

Physics in medicine and biology
Breast density is one of the most significant factors that is associated with cancer risk. In this study, our purpose was to develop a supervised deep learning approach for automated estimation of percentage density (PD) on digital mammograms (DMs). ...

Robot-guided stereoelectroencephalography without a computed tomography scan for referencing: Analysis of accuracy.

The international journal of medical robotics + computer assisted surgery : MRCAS
OBJECTIVE: Recent studies with robot-guided stereotaxy use computed tomography (CT) scans for referencing. We will provide evidence that using preoperative MRI datasets referenced with a laser scan of the patient's face is sufficient for sEEG implant...

Identification of candidate serum biomarkers of childhood-onset growth hormone deficiency using SWATH-MS and feature selection.

Journal of proteomics
UNLABELLED: A typical clinical manifestation of growth hormone deficiency (GHD) is a short stature resulting from delayed growth, but GHD affects bone health, cardiovascular function and metabolic profile and therefore quality of life. Although early...